Predictors of Attrition in the Finnish Conscript Service

Abstract

This report describes attrition in the Finnish conscript service and identifies variables that predict attrition and their relative strength as determined by various statistical models. Subjects were 2,003 conscripts, 211 of whom were separated before completing their 6-month military obligation. The categories of predictors considered were conscript demographic and background variables, aptitude, mental and physical health, and pertinent attitudes and perceptions. The research extended previous research by considering a wider set of predictors, over time, and allowed for generalization through the non-U.S. sample. Results show that the soldiers who separated from the military were significantly different from those who completed their military service on numerous predictor variables. Especially strong in predicting attrition were measures of the conscript's sense of military obligation, education level, physical health, criminal record, economic history, expected adjustment, age, and past behavior problems. The models accounted for 25% to 40% of the variance in attrition but were modest in their ability to correctly classify those who were separated. The underlying analyses were completed and a draft report written when Mikael Salo was attached to the U.S. Army Research Institute under an Engineer and Scientist Exchange Program (ESEP) between the Finnish National Defence College and the U.S. Army Research Institute.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2006
Accession Number
ADA460548

Entities

People

  • Guy L. Siebold
  • Mikael Salo

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Attrition
  • Basic Training
  • Education
  • Enlisted Personnel
  • Health Services
  • Medical Personnel
  • Military Research
  • National Security
  • Personnel Management
  • Psychological Adaptation
  • Psychology
  • Recruiting
  • Regression Analysis
  • Social Sciences
  • Students
  • War Colleges

Readers

  • Computational Modeling and Simulation
  • European Security and Defence Policy (ESDP).
  • Organizational Psychology.